A highly complex, diverse, and dense community of more than 1,000 different gut bacterial
species constitutes the human gut microbiome that harbours vast metabolic capabilities …

Multi-label classification (MLC) is considered an essential research subject in the computer
vision field, principally in medical image analysis. For this merit, we derive benefits from …

The electrical activity produced during the heartbeat is measured and recorded by an ECG.
Cardiologists can interpret the ECG machine's signals and determine the heart's health …

Sign language recognition is often carried out using hierarchical classification approach to
reduce complexity and enhance accuracy. In this paper, mutli-label classification is …

Brain-computer interface (BCI) is an alternative communication pathway between the human
brain and computer system without involving any muscles or actual motor neuron activities …

Multi-label classification (MLC) is deemed as an effective and dynamic research topic in the
medical image analysis field. For ophthalmologists, MLC benefits can be utilized to detect …

Featured Application As students are usually characterized by more than one learning style,
multi-label classification methods may be applied for the diagnosis of a composite students' …

The key idea in this paper is to propose multi-labels classification algorithms to handle
benchmark thermal datasets that are practically associated with different data characteristics …

In the last years, a lot of literature has provided considerable support for multilabel
classification in machine learning. It means that each sample or instance belongs to more …

Reconnaissance unmanned aerial vehicles are specifically designed to estimate
parameters and process intercepted signals for the purpose of identifying and locating …